Joint Service Caching and Computing Resource Allocation for Edge Computing-Enabled Networks-Reference-Cited by-同舟云学术

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Joint Service Caching and Computing Resource Allocation for Edge Computing-Enabled Networks

Published:2023-12 Issue:12 Volume:22 Page:9029-9044
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Kim Mingun¹^ORCID,Cho Hewon¹^ORCID,Cui Ying²^ORCID,Lee Jemin³^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South Korea

2. IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

3. Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10354275/10151798.pdf?arnumber=10151798

Reference42 articles.

1. Service Caching and Computation Resource Allocation for Large-Scale Edge Computing-Enabled Networks

2. A Survey on Mobile Edge Computing: The Communication Perspective

3. Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

4. Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks

5. Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated Quality of Service for Offline and Online Services in Edge Networks via Task Offloading and Service Caching;Sensors;2024-07-18

2. A Game-Theoretic Approach-Based Task Offloading and Resource Pricing Method for Idle Vehicle Devices Assisted VEC;IEEE Internet of Things Journal;2024-06-15

3. Profit-Aware Cooperative Offloading in UAV-Enabled MEC Systems Using Lightweight Deep Reinforcement Learning;IEEE Internet of Things Journal;2023

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